Sentence examples for existing text of the from inspiring English sources
Campaigners have said that provisions for protecting net neutrality in the existing text of the rules are too vague and many worry that it will be easy for internet firms to strike deals with content providers which may not be advantageous for everyone.
Modern scholars accepting his historicity nonetheless place the existing text of The Art of War in the later Warring States period based upon its style of composition and its descriptions of warfare.
These additional layers take many forms: crossing out, adding new text between lines of existing text ("interlining") or in the margins, inserting cross-references to the work of others or other manuscripts of his own, or commenting on the ideas he expressed in the base layer.
It was a minor miracle that the existing text was agreed in the first place after two years of tortuous negotiations.
Based on the existing text annotations, all of these models could be annotated to a term in the extended vocabulary.
However, due to the substantially increased processing speed of SENNA compared to existing syntax tree based approaches, very large text resources such as the whole MEDLINE database can be processed within only a few days time which is not an option for many of the existing text mining systems having processing times of several seconds per sentence.
It is easy enough to think of ways to improve the application of the existing texts; but the technocratic nature of the process of European integration becomes quite obvious again today from the decision to draft an additional document, which could hardly be anything but repetitive.
This did not mean that participants supported a shift to working from another sort of document all together hence the need to edit and redistribute the existing, text-based, version of the strategy.
Most authorities agree that the kernel of the book was originally written during the early Mauryan period but that much of the existing text is post-Mauryan.
However, the increased complexity of the challenge severely degrades the predictive capabilities of existing text mining algorithms.
